{ "info": { "author": "Erika Wagoner", "author_email": "wagoner47+clhs@email.arizona.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Astronomy" ], "description": "==============================================================================\ncLHS: Conditioned Latin Hypercube Sampling\n==============================================================================\n\n.. image:: https://readthedocs.org/projects/clhs-py/badge/?version=latest\n :target: https://clhs-py.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. include-marker-do-not-remove\n\n.. image:: https://img.shields.io/badge/GitHub-clhs__py-informational.svg\n :target: https://github.com/wagoner47/clhs_py\n\n.. image:: https://img.shields.io/github/license/wagoner47/clhs_py.svg\n :target: https://github.com/wagoner47/clhs_py/blob/master/LICENSE.rst\n\nConditioned Latin Hypercube Sampling in Python.\n\nThis code is based on the conditioned LHS method of\n`Minasny & McBratney (2006)`_. It follows some of the code from the R package\nclhs_ of Roudier et al.\n\nIn short, this code attempts to create a Latin Hypercube sample by selecting\nonly from input data. It uses simulated annealing to force the sampling to\nconverge more rapidly, and also allows for setting a stopping criterion on\nthe objective function described in Minasny & McBratney (2006).\n\n\n\n.. _Minasny & McBratney (2006): https://doi.org/10.1016/j.cageo.2005.12.009\n.. _clhs: https://CRAN.R-project.org/package=clhs", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/wagoner47/clhs_py", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "clhs", "package_url": "https://pypi.org/project/clhs/", "platform": "", "project_url": "https://pypi.org/project/clhs/", "project_urls": { "Homepage": "https://github.com/wagoner47/clhs_py" }, "release_url": "https://pypi.org/project/clhs/1.0.2/", "requires_dist": null, "requires_python": "", "summary": "Conditioned Latin Hypercube Sampling in Python", "version": "1.0.2", "yanked": false, "yanked_reason": null }, "last_serial": 6020707, "releases": { "1.0.1": [ { "comment_text": "", "digests": { "md5": "3498381d1e8c47b2c4a8442854bf35b7", "sha256": "2282b0abcaf68a2df53764dfb9ee2944469b590e7e4df9ce43290649109c4505" }, "downloads": -1, "filename": "clhs-1.0.1.tar.gz", "has_sig": false, "md5_digest": "3498381d1e8c47b2c4a8442854bf35b7", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1768, "upload_time": "2019-10-23T01:37:24", "upload_time_iso_8601": "2019-10-23T01:37:24.662431Z", "url": "https://files.pythonhosted.org/packages/87/b5/f04628c5107a74847b89ab1469f324a333651b98ad625ed1187cab767bfd/clhs-1.0.1.tar.gz", "yanked": false, "yanked_reason": null } ], "1.0.2": [ { "comment_text": "", "digests": { "md5": "e59b435c3578a276e52ad14192e73b64", "sha256": "47f0fdbb21cdd23b7b5b33aed3bfeae1be6f24ba2c4efae6dd459a36ef345706" }, "downloads": -1, "filename": "clhs-1.0.2.tar.gz", "has_sig": false, "md5_digest": "e59b435c3578a276e52ad14192e73b64", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10201, "upload_time": "2019-10-23T22:09:07", "upload_time_iso_8601": "2019-10-23T22:09:07.910120Z", "url": "https://files.pythonhosted.org/packages/df/3d/c3be6bd2dcfb119821abd3cedf3b55467b47ec8127c1b0fc9cb9ba826dd2/clhs-1.0.2.tar.gz", "yanked": false, "yanked_reason": null } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "e59b435c3578a276e52ad14192e73b64", "sha256": "47f0fdbb21cdd23b7b5b33aed3bfeae1be6f24ba2c4efae6dd459a36ef345706" }, "downloads": -1, "filename": "clhs-1.0.2.tar.gz", "has_sig": false, "md5_digest": "e59b435c3578a276e52ad14192e73b64", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 10201, "upload_time": "2019-10-23T22:09:07", "upload_time_iso_8601": "2019-10-23T22:09:07.910120Z", "url": "https://files.pythonhosted.org/packages/df/3d/c3be6bd2dcfb119821abd3cedf3b55467b47ec8127c1b0fc9cb9ba826dd2/clhs-1.0.2.tar.gz", "yanked": false, "yanked_reason": null } ], "vulnerabilities": [] }